\u003Cbr />As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales.\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You will build foundational models for biology capable of reading and writing biology at scale\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Who We're Looking For:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You have a Bachelor's in Computer Science, Machine Learning, or a related technical field\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have 3+ years of experience in developing and implementing deep generative learning models\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have experience pre-training models and are proficient in distributed computing environments\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are skilled in working with terra-scale datasets and scaling models to billions of parameters\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have experience in designing and implementing efficient data pipelines for processing and managing large datasets\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are experienced in code organization, version control, and collaborative software development practices.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Who You Are:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You have excellent problem-solving skills and the ability to quickly adapt to new challenges\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have excellent communication skills and can clearly articulate complex technical concepts\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Bonus points\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You have experience applying machine learning to biology or chemistry\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have contributed to open-source machine learning projects or published research papers in the field of AI/ML\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have experience optimizing machine learning models for high-performance computing environments\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are familiar with ML-Ops practices and tools for managing ML experiments and deployments\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>Our Values\u003C/h2>\u003Cp style=\"min-height:1.5em\">❤️ \u003Cstrong>Heart:\u003C/strong> We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.\u003C/p>\u003Cp style=\"min-height:1.5em\">🏆 \u003Cstrong>Excellence:\u003C/strong> We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.\u003C/p>\u003Cp style=\"min-height:1.5em\">🚀 \u003Cstrong>Practicality:\u003C/strong> We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.\u003C/p>\u003Cp style=\"min-height:1.5em\">📣 \u003Cstrong>Honesty:\u003C/strong> We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.\u003C/p>\u003Cp style=\"min-height:1.5em\">🎮 \u003Cstrong>Fun:\u003C/strong> We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>What We Offer\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">We encourage new and different ideas, creativity and contrarian thinking.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You own your day-to-day management. What we care about is that we all hit our milestones.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Competitive salary and equity in a growing, well-funded startup\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Excellent medical, dental, and vision coverage\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003C/li>\u003C/ul>","https://jobs.ashbyhq.com/output/675db22c-8a5a-4a6e-a6c0-277edac3d87c",{"id":51,"name":52,"urlSafeSlug":82,"logo":53},[259],{"city":18,"region":18,"country":158},"2025-09-20T07:25:29.626Z","Candidates should possess a Bachelor's degree in Computer Science, Machine Learning, or a related technical field and have over 3 years of experience in developing and implementing deep generative learning models. Proficiency in Python and at least one major deep learning framework (PyTorch, TensorFlow, or JAX) is required, along with experience in pre-training models and distributed computing environments. Expertise in deep learning and generative architectures like transformers, diffusion models, and autoencoders, as well as experience with terra-scale datasets and scaling models to billions of parameters, are essential. Strong understanding of machine learning fundamentals, including model architectures, optimization techniques, and evaluation metrics, is also necessary. Experience in designing and implementing efficient data pipelines, developing robust evaluation frameworks, ensuring data integrity, and collaborative software development practices are required. Bonus points include experience applying ML to biology or chemistry, contributions to open-source ML projects or published research, experience optimizing ML models for HPC, and familiarity with ML-Ops practices.","The Machine Learning Engineer will develop and implement cutting-edge AI systems for complex biological reasoning across multiple scales. Responsibilities include building foundational models for biology capable of reading and writing biology at scale, developing deep generative models for biological applications, and exploring innovative architectures. The role involves working on distributed training systems to scale models to billions of parameters, optimizing performance and efficiency across multi-GPU and multi-node setups, and handling large-scale biological datasets. Engineers will also engineer efficient data pipelines for managing and processing massive biological datasets, addressing challenges in data loading, splitting, and memory optimization, and develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage.",{"employment":264,"compensation":267,"experience":269,"visaSponsorship":273,"location":274,"skills":275,"industries":281},{"type":265},{"id":93,"name":94,"description":266},"Commit to a standard 40-hour workweek, usually with full benefits.",{"minAnnualSalary":268,"maxAnnualSalary":166,"currency":98,"details":18},100000,{"experienceLevels":270},[271],{"id":103,"name":104,"description":272},"Build upon established skills and take on more responsibility.",{"type":109},{"type":109},[112,276,277,113,114,115,121,278,279,280],"Deep Generative Models","Distributed Computing","Model Pre-training","Large-scale Datasets","Evaluation Frameworks",[282,283],{"id":47,"name":46},{"id":188,"name":189},["Reactive",285],{"$ssite-config":286},{"env":287,"name":288,"url":289},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",292],{"company-OutputBio":-1,"company-jobs-b46c31ea-d63f-45c2-bd91-911d74e4a5d8-carousel":-1},"/company/OutputBio",{}]